β确定下的飞机发电机故障诊断决策约简研究

发布时间：2018-03-17 22:08

  本文选题：飞机整体驱动发电机　切入点：数据挖掘　出处：《云南大学学报(自然科学版)》2016年06期 　论文类型：期刊论文

【摘要】：针对飞机整体驱动发电机故障诊断过程中的故障多源、诊断决策复杂的问题,从数据挖掘角度出发,引用变精度粗集模型处理诊断信息系统.利用对象集定义的二元关系和依赖空间给出了变精度粗糙集的β下近似协调集的判定定理,通过确定近似分类质量γ判断β取值范围并构造下近似分布表,提出了一种决策规则中β下近似属性约简的整体驱动发电机故障诊断决策.通过实际发电机输出故障信号诊断流程约简后得到决策系统,利用粗集中右边界域的准确度和覆盖度验证该方法的有效性和小样本情况下得到决策方法的普适性.
[Abstract]:In view of the problems of multi-source fault diagnosis and complicated decision making in the process of fault diagnosis of the whole aircraft driven generator, this paper starts from the angle of data mining. The variable precision rough set model is used to deal with diagnosis information system. By using the binary relation and dependency space defined by object set, the judgement theorem of 尾 lower approximation concordant set of variable precision rough set is given. By determining the approximate classification quality 纬 to determine the range of 尾 values, the approximate distribution table is constructed. In this paper, a decision for fault diagnosis of the whole driven generator is presented, in which the 尾 -lower approximation attribute reduction is used. The decision system is obtained by the reduction of the diagnosis process of the actual generator output fault signal. The accuracy and coverage of the right boundary region of the rough set are used to verify the validity of the method and the universality of the decision method is obtained in the case of small samples.
【作者单位】： 中国民航大学电子信息与自动化学院;
【基金】：国家自然科学基金(51177099;51407185) 中央高校科研基金(3122013D002)
【分类号】：V267;TP311.13
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本文编号：1626691